TRANSACTIONAL DATA for the Digital Economy

Accurate consumer insights for emerging markets based on E-RECEIPT DATA.

Why

Measurable.ai?

TRANSACTIONAL EMAILS

REAL PURCHASE DATA Access anonymized, SKU-level high definition data or aggregated datasets on a weekly basis.

SKU LEVEL

CONSUMER PANEL We develop and own the data source. We take personal privacy seriously and are GDPR and CCPA compliant.

RARE AND TIMELY  COVERAGE

RARE AND TIMELY COVERAGE Largest alternative data provider for emerging markets including South-east Asia, Middle East, Latin America, India and more.

What

do we cover?

Food Delivery

Food Delivery

GrabFood

Gojek

Foodpanda

UberEats

Deliveroo

Swiggy

Zomato

Talabat

Careem Now

more ...

RIDE-HAILING

RIDE-HAILING

Grab

Gojek

Bolt

Lyft

Uber

Beat

99 / Didi

Ola

Free Now

more ...

E-COMMERCE

E-COMMERCE

Shopee

Lazada

Tokopedia

Flipkart

Mercado Libra

Magazine Luiza

Bukalapak

HKTVMall

more ...

Who

are our target users?

Financial Institutions

fourLinesFinancial Institutions

Corporates

fourLinesMerchants

Researchers

fourLinesResearchers

Media

fourLinesMedia

Data Report

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#MarketShare

Food delivery market share change in Asia

Measurable AI continues to monitor the market share change across different markets in the heated food delivery industry. Check the latest landscape in Asia Pacific across Hong Kong, Taiwan, Singapore and Malaysia in 2021 (based on monthly total sales in USD).

#FoodDelivery

DoorDash: Beat consensus with weekly fresh data

Measurable AI's aggregated order volume is highly correlated with Doordash(NYSE:DASH)'s reported total orders by quarterly throughout the past few years (2019 -2021).

#India

Zomato: Keep up with the new stars

With the full granularity of e-receipts data, Measurable AI helps clients monitor a variety of metrics from revenues to specific GMV or customer-level behaviour. Our quarterly aggregated order volume for Zomato(NSE: ZOMATO) continues to show a high correlation with Zomato’s reported GOV(Gross Order Value). *Zomato's financial year 2021 starts July 2020 and ends April 2021

Data Insights

#FOOD DELIVERY#RIDE SHARING#E-COMMERCE
 
#Ride-Sharing

Sep 09, 2022

2022 Indonesia Ride-sharing Race: Gojek vs Grab 
There is Fast and Furious when it comes to the ride-sharing business.  Here’s an update on the ride-sharing race between the two biggest companies in Southeast Asia: Gojek versus Grab for the first half of 2022. After the past challenging years for mobility amid the pandemic, both companies have seen some rebound in ride-sharing business in Indonesia, Southeast Asia’s largest market. What’s the score now? Measurable AI: Indonesia Ride-hailing Market Share by Sales; *Estimated market share in this chart is captured in Measurable AI’s unique consumer panel and based on the dollar amount of each order before promotions and discounts. Both two-wheel and four-wheel rides are included. Data range from 2021 January to 2022 July Indonesia Ride-hailing Market Share: A Tight Race According to Measurable AI’s e-receipts data, the Indonesian ride-sharing market share remained stable across the year of 2021, with Grab capturing 57% of the market by sales. However, starting in 2022, Grab’s advantage shrunk slightly, and as of July 2022 Gojek took the leading spot capturing around 52% of the market share in mobility spending. The race has been tight for both companies before and after the recovery in the mobility sector. During August to December 2021 Grab and Gojek’s sales both experienced an upsurge. Going into 2022, the uptrend remains, and the spending for both apps are getting closer each week. Measurable AI: Gojek versus Grab by Monthly Sales. *Estimated sales in this chart are captured in Measurable AI’s unique consumer panel and based on the dollar amount of each order before promotions and discounts. Both two-wheel and four-wheel rides are included. Data range from 2021 January to 2022 July Incentives to Users: Which Company Subsidizes Their Rides More?  Are rides getting more expensive in Indonesia? While our Latin America e-receipt panel revealed rides were indeed getting more expensive in Brazil and Mexico (read our post on LatAm ride-hailing post surge), Our Indonesia panel indicates this is not the case for Indonesia. In fact, Grab and Gojek’s cost per ride has not changed much throughout the past two years. Grab’s overall AOV on either its 4-wheel or 2-wheel rides is only marginally higher than Gojek’s. Grab’s AOV on four-wheel rides saw some growth over the year of 2021, and now hovers around 49,000 RP, which is slightly higher than Gojek at around 47,000 RP this this year (as of July 2022).  Measurable AI: Indonesia Ride-hailing Average Order Value; *Estimated AOV in this chart are captured in Measurable AI’s unique consumer panel and based on the dollar amount of each order before promotions and discounts. Data range from 2021 January to 2022 July However, the incentives from both platforms on each ride have fluctuated across time. Based on the granular transactional data from Measurable AI, we dive deeper into the incentive structure underpinning both ride-hailing platforms. Gojek and Grab’s discount value per ride have hovered around 30% until discounts plummeted during the middle of 2021 when Indonesia was hit by the pandemic. After that, Gojek became more aggressive in incentivizing users. From 1Q22, Gojek’s discount % per ride rose to around 40%. Meanwhile Grab kept the same discount % at where it was before the dip.   Entering into Q2 this year, both platforms slowed down at giving away promotions, and in July, the discount rate per order for Grab arrived at around 23%. Measurable AI: Indonesia Ride-hailing Discount % Per Ride; *Estimated Discount % per order in this chart is captured in Measurable AI’s unique consumer panel. Data range from 2021 January to 2022 June Two-wheel > Four-wheel Measurable AI: Indonesia Ride-hailing market share by Product Type; *Estimated order volume in this chart is captured in Measurable AI’s unique consumer panel. Data range from 2021 January to 2022 July In Indonesia, 2-wheel rides are more dominant on both platforms in terms of order volume.  Grab and Gojek’s 2-wheel rides constitute around 32-33% of the total market share respectively by order volume. On 4-wheel rides, as of 2Q22, Grab’s 4-wheel rides owned a slightly bigger share of the market by order volume at around 19%, compared to Gojek’s 15%.  Follow our insights blog and newsletter to keep up with the heated competition between the two super apps in Southeast Asia. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights at [email protected] At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the ride-hailing industry. ABOUT US Charlie Shengis a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her [email protected] Measurable AIis a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more. *The Content is for informational purposes only, you should not construe any such information or other material as investment advice.Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.

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#外送平台

Sep 06, 2022

兩成人叫清湯米線、走韭多過走芽?一文看香港人食譚仔及三哥外賣習慣
每四碗譚仔,就有一碗過橋米線?10小辣榮登最受歡迎辣度寶座?喜歡譚仔的你,切勿錯過以下 6 個米線數據! 「譚仔」和「譚仔三哥」一向深受港人喜愛,無論返工、WFH 定放假,譚仔米線是不少人的 comfort food。由湯底、配料、麵底選擇、品牌印象以至餐廳佈置等因素,譚仔和三哥都各有捧場客。 現時譚仔雲南米線和譚仔三哥米線分別與兩間外賣服務平台合作:如果想叫「譚仔」,可選用 Deliveroo 戶戶送;如果想叫「三哥」,可選用 Foodpanda。兩間米線品牌經常與外賣平台合作推出特選折扣、專屬優惠碼等促銷活動,吸引不少譚仔常客叫外賣自取或速遞。 經營兩間米線品牌的譚仔國際 (02217) 早前發佈的年報中提及,外賣訂單佔收益接近一半 (48.3%),可見其外賣市場價值不容小覷。 本地數據分析公司 Measurable AI 透過「譚仔」和「三哥」的外賣服務平台訂單,為大家揭曉最受歡迎湯底、配料、辣度、用戶重疊程度等令人食指大動的米線數據。 各位譚仔常客,認同請分享! 1. 三哥 VS 譚仔湯底偏好 兩成人叫清湯 湯底可說是譚仔的靈魂,哪個湯底最受歡迎?我們分析了三哥和譚仔的外賣平台訂單,根據各個湯底的落單次數得出以下圖表。 在三哥的外賣訂單中,清湯底、麻辣湯底及蕃茄湯底各佔 21.5% 至 22.3%,人氣程度不相伯仲。 至於譚仔雲南米線的外賣訂單中,麻辣湯底佔 31.2% 成湯底之冠,第二和第三名分別是清湯底 (21.9) 和鮮蕃茄湯底 (14.6%)。 如題,清湯底在兩間米線的外賣訂單皆佔大約兩成,亦即是每五碗譚仔,就有一碗是清湯!你有想起邊位叫清湯的朋友嗎? Measurable AI:上述外賣訂單數據收集自 2021 年 6 月 1 日至 2022 年 8 月 12 日。數據來源:Foodpanda 平台上的譚仔三哥米線訂單 (包括外賣自取及到戶) 以及 Deliveroo 平台上的譚仔雲南米線訂單 (包括外賣自取及到戶)。 2. 「實小辣」榮登最受歡迎辣度寶座 不少人視譚仔辣度為一種挑戰,根據 Measurable AI 收集的外賣訂單數據,10 小辣是最受歡迎的辣度,其次是 5 小辣、季軍是小辣、第四名則為 3 小辣。 Measurable AI:上述外賣訂單數據收集自 2021 年 6 月 1 日至 2022 年 8 月 12 日。數據來源:Foodpanda 平台上的譚仔三哥米線訂單 (包括外賣自取及到戶) 以及 Deliveroo 平台上的譚仔雲南米線訂單 (包括外賣自取及到戶)。 3. 十大譚仔食材排行榜 雞肉稱王又稱霸 坊間不少投選最受歡迎譚仔配料的活動,Measurable AI 則透過分析外賣訂單收據,根據實質消費數據得出以下人氣配料排行榜。 比較三哥和譚仔的十大人氣配料,發現不少熱門配料重複出現,包括雞肉、腩肉、竹笙、炸醬、墨丸、牛肉和魚腐。 三哥和譚仔各自推出獨有配料 (圖中顯示星號*),排名不算高,當中譚仔雲南米線的墨魚春卷成功打入十大人氣配料。 Measurable AI:上述外賣訂單數據收集自 2021 年 6 月 1 日至 2022 年 8 月 12 日。數據來源:Foodpanda 平台上的譚仔三哥米線訂單 (包括外賣自取及到戶) 以及 Deliveroo 平台上的譚仔雲南米線訂單 (包括外賣自取及到戶)。 4. 「走九走牙走皮」比例 你食譚仔會走配料嗎?根據三哥和譚仔的外賣訂單數據,發現「走韭」的比率為 25%、「走牙」 為 17%、「走皮」則為 5%。 Measurable AI:上述外賣訂單數據收集自 2021 年 6 月 1 日至 2022 年 8 月 12 日。數據來源:Foodpanda 平台上的譚仔三哥米線訂單 (包括外賣自取及到戶) 以及 Deliveroo 平台上的譚仔雲南米線訂單 (包括外賣自取及到戶)。 5. 每四杯飲品 就有一杯「冬OT」 食譚仔的麻辣湯底,你會配甚麼飲品?除了可以額外加配飲品,三哥和譚仔於外賣平台的餐牌提供二人、三人等套餐選擇,附送冷熱飲品。 三哥和譚仔的外賣數據顯示,最受歡迎飲品結果呼之欲出——凍檸茶佔 25.5%。 與此同時,罐裝汽水類在外賣訂單都很受歡迎,罐裝可樂、雪碧、七喜和忌廉的總和佔 21.5%。 Measurable AI:上述外賣訂單數據收集自 2021 年 6 月 1 日至 2022 年 8 月 12 日。數據來源:Foodpanda 平台上的譚仔三哥米線訂單 (包括外賣自取及到戶) 以及 Deliveroo 平台上的譚仔雲南米線訂單 (包括外賣自取及到戶)。 6. 三哥 VS 譚仔 有幾多忠實擁躉 三哥、譚仔兩派食客有多少是重疊的?根據外賣訂單數據,發現有 13% 用戶在兩間譚仔米線都會光顧! Measurable AI:上述外賣訂單數據收集自 2021 年 6 月 1 日至 2022 年 8 月 12 日。數據來源:Foodpanda 平台上的譚仔三哥米線訂單 (包括外賣自取及到戶) 以及 Deliveroo 平台上的譚仔雲南米線訂單 (包括外賣自取及到戶)。 同場加映:譚仔外賣平均消費 154-162元 就外賣訂單平均消費額而言,三哥的平均消費為 154.8 元;譚仔雲南米線的外賣平均消費為 161.7 元。這個價格範圍大概是二人套餐、或兩碗米線加一個小食的價錢。 三哥 VS 譚仔市佔率 (外賣平台訂單) 看過以上米線外賣數據,想進一步了解三哥和譚仔在外賣平台上的市場佔有率?Measurable AI 早前發佈了今年第二季香港各大連鎖餐廳在外賣平台 App 的市佔率,當中譚仔三哥米線在 Foodpanda 上擁有約 3.8% 市佔率 (按訂單量);而譚仔雲南米線在 Deliveroo 上擁有約 3% 市佔率。 Measurable AI: Estimated market share in this chart are captured in Measurable AI’s unique consumer panel and based on order volume. Data range from 2022 April to 2022 June 想知更多?如欲得到最新市場數據,歡迎以電郵 ([email protected]) 聯絡我們。 關於 Measurable AI 另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一,提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場,主要行業涵蓋美食外送、叫車服務、電商和電子支付。 Measurable AI 分享匿名消費者數據,並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據,我們整合出消費趨勢、市場佔有率變化,以及預測企業盈利及財務狀況。 *文章內容並非投資建議,僅供參考。如要引用、轉發或修改文章內容,需先獲得書面同意。如有傳媒查詢,請發送電郵至 [email protected] 更多數據分析文章: Top Restaurant Chains on Food Delivery Apps in Hong Kong 【外送市場】誰是漢堡神偷?實測 Foodpanda、Deliveroo 及麥麥送 2022 香港虛擬銀行排名:另類數據分析各大 Virtual Bank、電子錢包用戶增長

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#Latin America

Aug 18, 2022

Ride-hailing In Latin America: A Race Between Uber and Didi’s 99
Latin America, home to some of the most urbanized cities in the world, is one of the fastest growth spots for ride-hailing. Traffic congestion, limited public transport infrastructure make it difficult to cope with peak demand during morning commute times in large cities like Sao Paulo, Mexico City and Bogota. Amidst the intense rivalry amongst ride hailing companies in Latin America, Measurable AI’s transactional e-receipt panel reveals that Uber and 99 (owned by Chinese ride-hailing company Didi Chuxing) are the major rivals in these two markets. Let’s prod further to see what consumer insights can be unearthed from our granular dataset. Who is Winning Market Share in Brazil and Mexico? First, let’s take a look at what Measurable AI’s e-receipt consumer panel reveals about market share between Uber and Didi’s 99. For Brazil, our insights reveal that Uber is winning, owning roughly 65% of market share versus the 35% occupied by Didi for 1Q22.1 Turning to the ride-hailing scenario for Mexico, Didi leads Uber, owning about 56% and 44% market share respectively as of 1Q22. Measurable AI: Latam Ride-hailing Market Share by Sales; *Estimated Sales in this chart are based on metrics “total price”, the dollar amount of each order before promotions and discounts, captured from Measurable AI’s transactional e-receipts consumer panel. Which City Within Brazil and Mexico Accounts For the Most Rides? Brazil is Uber’s biggest market outside of the US, with over 600,000 drivers serving 100+ cities in the country. Sao Paulo is Uber’s busiest city in the world, which together with NY, LA, Chicago and London account for 22% of bookings worldwide. As for the busiest city in Mexico where most Uber and Didi rides were ordered, Measurable AI’s granular dataset reveals that Mexico city takes the lead. As gleaned from Measurable AI’s e-receipt panel in 2022 for Latin America, around 17% of Uber rides and 12% of 99 rides in Brazil originate from Sao Paulo. For Mexico, roughly 24% of Uber rides and 18% of 99 rides in Mexico originate from Mexico city. Measurable AI: Latam Ride Sharing Geographical Coverage Ride-sharing city-level activity on Uber/DiDi(99) in Mexico and Brazil (Y2022) While monthly completed trips in Brazil for Uber and Didi’s 99 are not publicly disclosed, they are believed to have 28 million active users combined – approximately 90% of the Brazilian population. In terms of the number of drivers, it is estimated that 99 has 750,000 active drivers compared to Uber’s over 600,000. How Much is the Average Ride-hailing Trip in Brazil and Mexico? How much does the average rider in Brazil and Mexico spend per ride when it comes to ride-hailing services? As of March 2022, Measurable AI’s e-receipt panel reveals that the average ride cost in Brazil and Mexico works out to be roughly BRL $92 (~USD $17.5) and MXN $385 (~USD $19.2). Measurable AI: Latam Ride-hailing Average Order Spend; *Average Order Spend Per User in this chart is based on metrics “total price”, the dollar amount of each order before promotions and discounts, captured from Measurable AI’s transactional e-receipts consumer panel. Interestingly enough, as can be seen from the chart above, there is a sharp surge in prices for both Uber and 99 throughout 2021 when it comes to the average spend per user.  From Measurable AI’s Brazilian panel, by year end 2021, the monthly average spend per user for Uber and 99 increased by 18.1% and 10.3% respectively when compared to year end 2020. When it comes to our Mexican panel, the monthly average spend per user for Uber increased by 11.6% when compared to year end 2020, reaching a year end peak of around USD $19.2. For 99, the price increased by 3.7%, reaching a year end peak of USD $17.4. This begs the question, what is driving the peak in prices throughout 2021? The rise in prices may be largely attributable to the rising fuel costs which account for the largest portion of Brazil’s inflation. As of October 2021, prices have increased 40% from a year ago. As such, this has caused many drivers to quit. According to Sao Paulo’s Association of App Drivers (Amasp), 25% of drivers for both Uber and 99 have quit since the start of the pandemic.  Another headwind facing Uber and 99 are the shortage of cars. Most motorists in Brazil actually don’t own their vehicles and rental companies have hiked rates due to the shortages of cars. Teros, a consultancy in Sao Paulo, estimates that rental agencies have increased prices over 20% this year. Measurable AI: Latam Ride-hailing Average Order Spend; *Average Price Per Mile in this chart is based on metrics “total price”, the dollar amount of each order before promotions and discounts, captured from Measurable AI’s transactional e-receipts consumer panel. The overall cost in ride-hailing in Latam has also been rising in terms of the pricing per mile. As the above chart shown, over the past 2 years (since 3Q 20), the ride-hailing average price per mile in Brazil across 99 and Uber has been up by almost 50%. In Mexico, the average price per mile in ride-hailing has grown from around 17 MXN to almost 20 MXN in the latest quarter of 2022. Measurable AI: Latam Ride-hailing Average Order Spend; *Average Price vs Discount Per Ride in this chart is based on metrics “total price”, the dollar amount of each order before promotions and discounts, captured from Measurable AI’s transactional e-receipts consumer panel. When it comes to promotions and discounts in ride-hailing orders from Latam, both platforms are still consistently incentivizing users in the past two years. In Latam, both platforms allocate similar average value of discounts per ride. In Mexico particularly, Didi’s 99 has been giving away relatively a higher percentage of discount to riders per order, with a slight smaller price per order. Do Riders Prefer Didi or Uber Depending on How Long Their Commute Is? Do Latin American riders exhibit preferential treatment towards one ride hailing company over the other depending on the distance of their journey? We explore this by splitting our sample of riders into two groups: overlapped versus non-overlapping riders. Overlapping riders are defined as riders in our panel who have chosen to book a ride on both Uber and 99 across 2021. From Measurable AI’s 2021 dataset for Brazil and Mexico, we came up with the following findings. Non-overlapping Riders Measurable AI: Latam Non-overlapped Rider choice x Distance Cohort; *Estimated rider volume is based on e-receipts captured from Measurable AI’s transactional consumer panel. For the Brazil market, the choice to opt for Uber over 99 is positively correlated with the distance of the journey. The longer the commute, the more likely it is for Brazilian riders to choose Uber over 99. While for the Mexico market, the choice to opt for DiDi’s 99 over Uber is more noticeable for short commutes that are 15 miles or less. Let’s look at the average number of rides a typical Uber or 99 ride-hailing customer books on a weekly basis in Brazil and Mexico. For Brazil, our panel reveals that Uber registered 2.6 orders per rider while 99 clocks in at 2.5 orders per rider (a close tie indeed!). While for Mexico, our dataset shows that the average rider there books 2.2 Uber rides and 2.5 Didi rides a week on average. Overlapping Riders We now look into the cohort of overlapping riders (i.e. those in our panel who have ridden both a Uber and Didi ride). For Brazil, 17.6% of riders in our consumer panel chose to ride on both Uber and 99 whereas for Mexico, this figure was 15.8%. Measurable AI: Latam Ride-hailing Overlap Users; *Estimated rider volume is based on e-receipts captured from Measurable AI’s transactional consumer panel. Turning to our cohort of overlapping riders from our panel, it’d be interesting to see how loyal are Latinos’ to the ride-hailing companies Uber vs. Didi. Do they have a preferred ride-hailing company that they vehemently stick to or are they flexible when it comes to choosing which ride-hailing app to ride with? From Measurable AI’s LatAm dataset for 2021, it seems that amongst our panel overlapping riders, these riders exhibited a preference for Uber: Uber registered 2.8 orders per rider while 99 registered 2.5 orders per ride a week on average. Turning to our Mexican e-receipt dataset, our panel overlapping riders reveals that those who choose to ride on both platforms preferred Didi for shorter commutes (5 miles or less) while for longer commutes they exhibited a preference for riding with Uber. In terms of the average number of orders per rider, DiDi and Uber registered 2.6 and 2.2 respectively a week on average. Which Car Type is Most Popular Amongst Uber and 99 in Latin America? For Brazil and Mexico, an Uber or 99 ride-hailing app ride is usually cheaper than a taxi, especially if the journey is long. It’d be interesting to see which type of cars within the two services are the most popular in both countries and how this stacks up along with the pricing. From Measurable AI’s LatAm dataset, we found that UberX, 99pop, and DiDi-Express were the most popular in both Brazil and Mexico. Prodding further, we came up with the following findings on pricing for the major types of car in the first 10-mile cohort. Measurable AI: Latam Ride-hailing Rider Cost x Distance *Average Order Spend Per User in this chart is based on metrics “total price”, the dollar amount of each order before promotions and discounts, captured from Measurable AI’s transactional e-receipts consumer panel. As can be seen, the prices of riding with either of the two platforms in 2022 increased quite significantly from a year ago in 2021. This was particularly the case for Uber Black and 99 Comfort in Brazil whereby prices hiked by some whopping 19% and 30% YoY respectively for the long commutes (~ 9 miles). As explained earlier, this could largely be attributable to the rising oil prices and shortage of cars experienced throughout 2021. Latin America is a key growth area for ride-hailing companies. The growing urban population, poor urban planning and limited mobility are the major drivers underpinning the growth of the market. The total regional population in Latin America will exceed 660 million, 82% of which will be living in cities. Measurable AI is the leading granular e-receipt provider for the ride-hailing industry in the emerging markets. If you would like more up-to-date data or more granular insights into this highly competitive industry, please reach out to us at [email protected] ABOUT US: Michelle Tang is a Managing Director at Measurable AI who draws on her experience from consumer data, tech and equity investing to help evangelize alternative data and its vast use cases. Driven by a passion for data analytics and consumer intelligence, she enjoys research and storytelling with insights derived from Measurable AI’s unique e-receipt dataset. You can reach her at [email protected] Measurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. We cover the digital economy with the major sectors being ride hailing, food delivery, e-commerce and digital payments. *The Content is for informational purposes only. You should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.

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